Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories
J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, R. Dumitrescu, Procedia CIRP 128 (2024) 424–429.
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Artikel
| Veröffentlicht
| Englisch
Autor*in
Weller, Julian;
Migenda, Nico
;
Enzberg, Sebastian von;
Kohlhase, Martin
;
Schenck, Wolfram
;
Dumitrescu, Roman






Abstract
The emerging trend of Prescriptive Analytics tries to prescribe actionable decisions. The goal is to help production experts in automating their decisions in the factory. Decision making processes in factories mostly rely on experts inside the company. Current trends such as demographic shifts and shortages of skilled personnel are challenging organizations to find ways to become less dependent on the ad hoc availability of expert knowledge through digitalization and data analytics. Existing data analytics approaches for smart factories usually focus on description, diagnosis, and prediction. An approach to differentiate between different application areas of Prescriptive Analytics in a smart factory is presented. Focus areas for a useful application and integration of Prescriptive Analytics are derived. Based on these applications, design principles are constructed. They help decision makers to select future lighthouse use cases for development and help smart factory advocates to strategically decide which prescriptive analytics approaches to highlight. The resulting design principles are based on a literature review and validated in a workshop with experts from research. Approaches are differentiated and key characteristics for future Use Case design decisions are derived.
Erscheinungsjahr
Zeitschriftentitel
Procedia CIRP
Band
128
Seite
424-429
ISSN
FH-PUB-ID
Zitieren
Weller, Julian ; Migenda, Nico ; Enzberg, Sebastian von ; Kohlhase, Martin ; Schenck, Wolfram ; Dumitrescu, Roman: Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. In: Procedia CIRP Bd. 128, Elsevier BV (2024), S. 424–429
Weller J, Migenda N, Enzberg S von, Kohlhase M, Schenck W, Dumitrescu R. Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. Procedia CIRP. 2024;128:424-429. doi:10.1016/j.procir.2024.03.022
Weller, J., Migenda, N., Enzberg, S. von, Kohlhase, M., Schenck, W., & Dumitrescu, R. (2024). Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories. Procedia CIRP, 128, 424–429. https://doi.org/10.1016/j.procir.2024.03.022
@article{Weller_Migenda_Enzberg_Kohlhase_Schenck_Dumitrescu_2024, title={Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories}, volume={128}, DOI={10.1016/j.procir.2024.03.022}, journal={Procedia CIRP}, publisher={Elsevier BV}, author={Weller, Julian and Migenda, Nico and Enzberg, Sebastian von and Kohlhase, Martin and Schenck, Wolfram and Dumitrescu, Roman}, year={2024}, pages={424–429} }
Weller, Julian, Nico Migenda, Sebastian von Enzberg, Martin Kohlhase, Wolfram Schenck, and Roman Dumitrescu. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP 128 (2024): 424–29. https://doi.org/10.1016/j.procir.2024.03.022.
J. Weller, N. Migenda, S. von Enzberg, M. Kohlhase, W. Schenck, and R. Dumitrescu, “Design decisions for integrating Prescriptive Analytics Use Cases into Smart Factories,” Procedia CIRP, vol. 128, pp. 424–429, 2024.
Weller, Julian, et al. “Design Decisions for Integrating Prescriptive Analytics Use Cases into Smart Factories.” Procedia CIRP, vol. 128, Elsevier BV, 2024, pp. 424–29, doi:10.1016/j.procir.2024.03.022.